Evaluation of breast cancer tumor classification with unconstrained functional networks classifier

IEEE International Conference on Computer Systems and Applications, 2006

Volumn 2006, Issue , 2006, Pages 281-287

  El Sebakhy, Emad A ^a   Faisal, Kanaan Abed ^a   Helmy, T ^a   Azzedin, F ^a   Al Suhaim, A ^a  

^a KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

Author keywords

Breast cancer detection; Functional networks; Minimum description length; Pattern classification

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER AIDED DIAGNOSIS; COMPUTER SCIENCE; DATA REDUCTION; FUNCTIONAL NEURAL STIMULATION; PATTERN RECOGNITION; STATISTICAL METHODS;

BREAST CANCER DETECTION; FUNCTIONAL NETWORKS; MINIMUM DESCRIPTION LENGTH; STATISTICS LITERATURES;

TUMORS;

EID: 33750810834     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/aiccsa.2006.205102     Document Type: Conference Paper

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